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Welcome!

I am a PhD candidate in Computer Engineering at Colorado State University, specializing in artificial intelligence and machine learning systems. My research focuses on building scalable, adaptive and robust models that operate efficiently in real‑world conditions. I work at the intersection of continual learning, secure and federated ML, explainable AI and multimodal perception, with applications such as indoor localization, object detection and large language model robustness.

This page shares my research interests, publications, professional experiences, projects and ways to get in touch. Feel free to explore the tabs above to learn more!

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Research

My research aims to develop machine learning systems that are adaptable, robust and energy‑efficient. I investigate continual and domain‑incremental learning methods, robust and secure ML techniques, federated and distributed learning algorithms, and multimodal perception systems. By combining systems and algorithmic perspectives, I build models that generalize across different devices, domains and over time, while maintaining high performance under constraints like limited data, hardware resources and adversarial conditions.

Some of my current interests include:

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Publications

Experience

Projects

Contact

Email: akhil.singampalli@colostate.edu

Location: Fort Collins, CO, United States

If you would like to collaborate or learn more about my research, feel free to reach out via email.